title: Analysis of muscle coupling during isokinetic endurance contractions by means of nonlinear prediction.
abstract: Isokinetic exercises have been extensively used in order to analyze muscle imbalances and changes associated with fatigue. It is known that such changes are difficult to assess from EMG signals during dynamic contractions, especially, using linear signal processing tools. The aim of this work was to use nonlinear prediction in order to analyze muscle couplings and interactions in this context and to assess the load-sharing of different muscles during fatigue. Results show promising for detecting interaction strategies between muscles and even for the interaction between muscles and the output torque during endurance tests.
authors.forename: Mónica
authors.initials: M
authors.lastname: Rojas-Martínez
authors.forename: Joan F
authors.initials: JF
authors.lastname: Alonso
authors.forename: Joaquim
authors.initials: J
authors.lastname: Chaler
authors.forename: Miquel A
authors.initials: MA
authors.lastname: Mañanas
mesh_terms: D000328:Adult; D004576:Electromyography / Q000379:methods; D005221:Fatigue; D064368:Healthy Volunteers; D006801:Humans; D008297:Male; D009119:Muscle Contraction / Q000502:physiology*; D018763:Muscle Fatigue / Q000502:physiology*; D018482:Muscle, Skeletal / Q000502:physiology*; D009132:Muscles; D017711:Nonlinear Dynamics; D016059:Range of Motion, Articular; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D013716:Tennis Elbow / Q000503:physiopathology; D019415:Torque